ML Engineer بدوام كامل في دبي
التخصص
تكنولوجيا المعلومات
نوع الدوام
دوام كامل
الخبرة
أي مستوى
الموقع
دبي
وصف الوظيفة
Location: Dubai, United Arab Emirates, on siteEmployment Type: Full time, permanentExperience: 6+ years in applied ML, ML Engineering or Data ScienceReporting Line: Chief Technology OfficerJob SummaryAs the ML Engineer at SentraAI you will design, build and operate production machine learning models that power our Dubai-based products. You will own model development, deployment and the pipelines that deliver reliable batch and real-time inference.You will work across data engineering and product teams to productionise models on AWS and container platforms, and be accountable for model monitoring, explainability and governance in regulated contexts.About SentraAISentraAI is a specialist enterprise AI firm, focused on helping large, regulated organisations move AI and data platforms from experimentation into production safely and sustainably.We work inside enterprise run-states, where governance, operational risk, change control, and long-term ownership are integral to delivery. Our teams are trusted to design and deliver systems, platforms, and operating models that can be run, audited, and evolved, not just launched.We prioritise engineering discipline, architectural clarity, and delivery quality over speed theatre or hype.Key ResponsibilitiesModel development and delivery- Design, train and validate production ML models for forecasting, propensity and risk use cases- Ship production-grade Python code and model artefacts, with automated tests- Build APIs and batch jobs for real-time and batch inferenceDeployment and platform- Deploy models using AWS services such as SageMaker, ECR and ECS/EKS or Lambda- Containerise workloads with Docker and manage CI/CD pipelines- Work with infrastructure-as-code and orchestration to automate releasesMonitoring, governance and quality- Implement model monitoring and drift detection, and respond to alerts- Apply explainability techniques and hold model governance reviews- Maintain reproducibility, model versioning and experiment trackingRequired QualificationsMinimum qualifications- 6+ years in applied ML, ML Engineering or Data Science with models shipped to production- Strong Python (production grade) and SQL skills- Experience with scikit-learn, XGBoost or LightGBM, pandas and NumPyPlatform and tooling- Hands-on experience on AWS including SageMaker, S3, ECR, ECS/EKS or Lambda, Step Functions and CloudWatch- Experience with Docker, APIs and real-time or batch inference patterns- Familiar with Git, CI/CD and automated testing- Understanding of model monitoring, drift, explainability and governanceAdvantageous but Not Mandatory- Experience with Dataiku or MLflow- Familiarity with SHAP or other explainability tooling- Experience with Kubernetes and Terraform- Banking or other regulated industry experience- Experience building forecasting, propensity, churn, segmentation or risk models- Relevant AWS or Dataiku certificationsWhy Work for SentraAIEnterprise AI, done properly.We exist to take AI and data out of experimentation and into production environments that are regulated, scrutinised, and expected to work every day.Quality is not optional.SentraAI is built on the belief that engineering discipline, governance by design, and delivery rigour are competitive advantages, not overhead.Clear ownership and accountability.You will be trusted with real responsibility, clear mandates, and meaningful outcomes, not diluted roles or performative activity.Work that survives contact with reality.We design systems, operating models, and decisions that still stand up months and years after go-live, not just at demo time.Run-state matters as much as build-state.We optimise for operability, auditability, and change control from day one, because that is where enterprise value is won or lost.Substance over hype.We deliberately avoid delivery theatre, buzzwords, and novelty for novelty sake. Credibility is earned through execution.Learn from experienced practitioners.You will work alongside people who have built, broken, fixed, and run enterprise systems, and who care deeply about doing the work properly.A firm with a point of view.SentraAI is opinionated by design. We stand for doing fewer things better, and we expect our people to take pride in that standard.
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